Using smart sampling to discover promising regions and increase the efficiency of differential evolution (2009)
- Authors:
- Autor USP: DELBEM, ALEXANDRE CLÁUDIO BOTAZZO - ICMC
- Unidade: ICMC
- DOI: 10.1109/ISDA.2009.248
- Subjects: COMPUTAÇÃO EVOLUTIVA; APRENDIZADO COMPUTACIONAL
- Keywords: Global Numerical Optimization; Smart Sampling; Promising Regions; Differential Evolution
- Language: Inglês
- Imprenta:
- Publisher: IEEE Computer Society
- Publisher place: Los Alamitos
- Date published: 2009
- Source:
- Título: Proceedings
- ISSN: 9780769538723
- Conference titles: International Conference on Intelligent Systems Design and Applications - ISDA
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
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ABNT
MELO, Vinícius V. e DELBEM, Alexandre Cláudio Botazzo. Using smart sampling to discover promising regions and increase the efficiency of differential evolution. 2009, Anais.. Los Alamitos: IEEE Computer Society, 2009. Disponível em: https://doi.org/10.1109/ISDA.2009.248. Acesso em: 20 fev. 2026. -
APA
Melo, V. V., & Delbem, A. C. B. (2009). Using smart sampling to discover promising regions and increase the efficiency of differential evolution. In Proceedings. Los Alamitos: IEEE Computer Society. doi:10.1109/ISDA.2009.248 -
NLM
Melo VV, Delbem ACB. Using smart sampling to discover promising regions and increase the efficiency of differential evolution [Internet]. Proceedings. 2009 ;[citado 2026 fev. 20 ] Available from: https://doi.org/10.1109/ISDA.2009.248 -
Vancouver
Melo VV, Delbem ACB. Using smart sampling to discover promising regions and increase the efficiency of differential evolution [Internet]. Proceedings. 2009 ;[citado 2026 fev. 20 ] Available from: https://doi.org/10.1109/ISDA.2009.248 - On the effectiveness of genetic algorithms for the multidimensional knapsack problem
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Informações sobre o DOI: 10.1109/ISDA.2009.248 (Fonte: oaDOI API)
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